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学者姓名：黄冀卓
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Abstract ：
In recent years, wireless sensors have progressively supplanted conventional limited sensors owing to their attributes of small size, low cost, and high accuracy. Consequently, there has been a growing interest in leveraging wireless sensor networks for bridge structural health monitoring applications. By employing wireless sensor nodes to gather data from various segments of the bridge, information is relayed to a signal-receiving base station. Subsequently, the health status of the bridge is inferred through specific data processing and analysis, aiding monitoring personnel in making informed decisions. Nonetheless, there are limitations in this research, particularly pertaining to power consumption and efficiency issues in data acquisition and transmission, as well as in determining the appropriate wireless sensor types and deployment locations for different bridge configurations. This study aims to comprehensively examine research on the utilization of wireless sensor networks in the realm of bridge structural health monitoring. Employing a systematic evaluation methodology, more than one hundred relevant papers were assessed, leading to the identification of prevalent sensing techniques, data methodologies, and modal evaluation protocols in current use within the field. The findings indicate a heightened focus among contemporary scholars on challenges arising during the data acquisition and transmission processes, along with the development of optimal deployment strategies for wireless sensor networks. In continuing, the corresponding technical challenges are provided to address these concerns.
Keyword ：
bridge bridge data technology data technology optimal sensor placement optimal sensor placement sensing technology sensing technology structural health monitoring structural health monitoring wireless sensor networks wireless sensor networks
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| GB/T 7714 | Chen, Gang , Shi, Weixiang , Yu, Lei et al. Wireless Sensor Placement Optimization for Bridge Health Monitoring: A Critical Review [J]. | BUILDINGS , 2024 , 14 (3) . |
| MLA | Chen, Gang et al. "Wireless Sensor Placement Optimization for Bridge Health Monitoring: A Critical Review" . | BUILDINGS 14 . 3 (2024) . |
| APA | Chen, Gang , Shi, Weixiang , Yu, Lei , Huang, Jizhuo , Wei, Jiangang , Wang, Jun . Wireless Sensor Placement Optimization for Bridge Health Monitoring: A Critical Review . | BUILDINGS , 2024 , 14 (3) . |
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Bridges are progressively experiencing significant structural wear and challenges in their maintenance procedures. To address this issue, it ' s crucial to clarify the order of maintenance activities during the bridge maintenance process and the impact of maintenance resources on structural safety performance. This understanding allows for the precise establishment of a model that captures the changes in structural safety performance in relation to the bridge maintenance duration that are resource-constrained. This paper proposes a resourceconstrained bridge maintenance optimization method where neither the structural safety performance loss nor the duration holds a dominant advantage. An Adjusted NSGA-II (Adj-NSGA-II) method is employed to determine the total structural safety performance loss and total duration throughout the bridge ' s operational cycle. The results show that the number of construction workers in the mathematical model proposed will have different degrees of influence on the change of the total construction duration under the similar total structural safety performance. The proposed method not only enhances the scientific management capabilities of decision-makers in bridge maintenance planning but also provides a framework that can be applied to maintain other structural forms.
Keyword ：
Genetic algorithm Genetic algorithm In-service bridge In-service bridge Maintenance duration Maintenance duration Maintenance planning Maintenance planning Structural safety performance loss Structural safety performance loss
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| GB/T 7714 | Wei, Jiangang , Chen, Gang , Huang, Jizhuo et al. Resource-constrained bridge maintenance optimization by harmonizing structural safety and maintenance duration [J]. | ENGINEERING STRUCTURES , 2024 , 308 . |
| MLA | Wei, Jiangang et al. "Resource-constrained bridge maintenance optimization by harmonizing structural safety and maintenance duration" . | ENGINEERING STRUCTURES 308 (2024) . |
| APA | Wei, Jiangang , Chen, Gang , Huang, Jizhuo , Shou, Wenchi , Wang, Jun . Resource-constrained bridge maintenance optimization by harmonizing structural safety and maintenance duration . | ENGINEERING STRUCTURES , 2024 , 308 . |
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本实用新型公开了石条楼板加固结构技术领域的一种U型棋盘缠绕式石条楼板加固结构，包括条状石材、高强钢丝网、碳纤维网格、聚合物砂浆，高强钢丝网和碳纤维网格的加固范围在楼板跨中1/3‑1/2的局部区域，聚合物砂浆做基层将高强钢丝网、碳纤维网格与石条楼板进行粘结，先将碳纤维网格与楼板下表面纵向粘结，再将高强钢丝网以棋盘式交错缠绕布置，本加固方案用碳纤维网格加强石板单根承载力，高强钢丝对石条楼板进行交错缠绕式加固，可有效增强多根石条的共同受力和协同受力性能，进而提高石条楼板的整体承载力和抗连续倒塌能力，且该方案操作简单、成本低廉，因此具备广泛的工程应用和推广价值。
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| GB/T 7714 | 黄冀卓 , 黄可为 , 严东升 et al. 一种U型棋盘缠绕式石条楼板加固结构 : CN202221110873.4[P]. | 2022-05-10 00:00:00 . |
| MLA | 黄冀卓 et al. "一种U型棋盘缠绕式石条楼板加固结构" : CN202221110873.4. | 2022-05-10 00:00:00 . |
| APA | 黄冀卓 , 黄可为 , 严东升 , 杨建军 , 张秀义 , 李艳红 et al. 一种U型棋盘缠绕式石条楼板加固结构 : CN202221110873.4. | 2022-05-10 00:00:00 . |
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本实用新型公开了包裹式石条楼板加固结构技术领域的一种一体倾斜包裹式石条楼板加固结构，包括条状石板、高强钢丝网、碳纤维网格、(碳纤维网格/高强钢丝网)专用砂浆，加固范围为楼板跨中1/3‑1/2的局部区域，将石楼板整体用一条不间断的碳纤维网格/高强钢丝网横向并倾斜一定角度从下表面包裹至上表面，用专用砂浆做基层将碳纤维网格/高强钢丝网与石楼板进行粘结，本加固方案用高强钢丝/碳纤维网格对石条楼板进行一体倾斜包裹式加固，增强石楼板中条状石材的协同受力性能，同时可通过在被包裹条状石材底部增设纵向加强措施，进一步提升石楼板的整体承载力，且该方案操作简单、成本低廉，因此具备广泛的工程应用和推广价值。
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| GB/T 7714 | 黄冀卓 , 陈峰 , 张秀义 et al. 一种一体倾斜包裹式石条楼板加固结构 : CN202221104558.0[P]. | 2022-05-10 00:00:00 . |
| MLA | 黄冀卓 et al. "一种一体倾斜包裹式石条楼板加固结构" : CN202221104558.0. | 2022-05-10 00:00:00 . |
| APA | 黄冀卓 , 陈峰 , 张秀义 , 杨建军 , 李艳红 , 张铮 et al. 一种一体倾斜包裹式石条楼板加固结构 : CN202221104558.0. | 2022-05-10 00:00:00 . |
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Three-dimensional concrete printing is a promising technology and attracts the significant attention of research and industry. However, printable and mechanical capacities are required for 3D printable cementitious materials. Moreover, the quantitative analysis methods of printable performance are limited and have low sensitivity. In this study, the orthogonal experiment through samples combining 3D concrete printing method with fly ash, silica fume, and ground granulated blast furnace slag was designed to obtain the printable and mechanical property influence of various mix proportions. Furthermore, multiple industrial wastes were utilized to improve material sustainability. Meanwhile, the static and dynamic extrusion pressure measured by the original 3D printing extrudability tester were verified to achieve a high-sensitivity evaluating indicator. Thereby, a novel high-sensitivity quantitative analysis method of printable capacity was established to explore the influence of industrial wastes usage on the printability of 3D printable mortars. The optimum dosage of fly ash, silica fume, and ground granulated blast furnace slag was 20 wt.%, 15 wt.%, and 10 wt.%, respectively, based on printable and mechanical property experiments. Furthermore, the optimum dosage was employed to print the sample and achieved a higher compressive strength (56.3 MPa) than the control cast.
Keyword ：
industrial waste industrial waste orthogonal experiment orthogonal experiment printability printability sustainability sustainability three-dimensional concrete printing three-dimensional concrete printing
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| GB/T 7714 | Wang, Bolin , Zhai, Mingang , Yao, Xiaofei et al. Printable and Mechanical Performance of 3D Printed Concrete Employing Multiple Industrial Wastes [J]. | BUILDINGS , 2022 , 12 (3) . |
| MLA | Wang, Bolin et al. "Printable and Mechanical Performance of 3D Printed Concrete Employing Multiple Industrial Wastes" . | BUILDINGS 12 . 3 (2022) . |
| APA | Wang, Bolin , Zhai, Mingang , Yao, Xiaofei , Wu, Qing , Yang, Min , Wang, Xiangyu et al. Printable and Mechanical Performance of 3D Printed Concrete Employing Multiple Industrial Wastes . | BUILDINGS , 2022 , 12 (3) . |
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Three-dimensional (3D) concrete printing (3DCP) technology attracts significant attention from research and industry. Moreover, adequate mechanical performance is one of the primary properties for materials, meeting the demand of structural safety using 3DCP technology. However, research on curing conditions as the significant influence factor of mechanical capacity is required to accelerate the practical application of 3DCP technology. This study aims to explore the impact of various steam curing conditions (heating rate, constant temperature time, and constant temperature) on the mechanical performance of printed concrete containing solid wastes. Moreover, the optimal steam curing conditions are obtained for compressive, tensile, and flexural properties in different directions. Subsequently, anisotropies in the mechanical properties of printed composites and interlayer bonding behaviors are investigated when various curing conditions are employed. The result shows that steam curing conditions and solid waste incorporation improves the interlayer bond for 3D printed cement-based composites.
Keyword ：
3D concrete printing 3D concrete printing anisotropy anisotropy curing conditions curing conditions mechanical capacity mechanical capacity solid waste solid waste sustainability sustainability
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| GB/T 7714 | Wang, Bolin , Yao, Xiaofei , Yang, Min et al. Mechanical Performance of 3D Printed Concrete in Steam Curing Conditions [J]. | MATERIALS , 2022 , 15 (8) . |
| MLA | Wang, Bolin et al. "Mechanical Performance of 3D Printed Concrete in Steam Curing Conditions" . | MATERIALS 15 . 8 (2022) . |
| APA | Wang, Bolin , Yao, Xiaofei , Yang, Min , Zhang, Runhong , Huang, Jizhuo , Wang, Xiangyu et al. Mechanical Performance of 3D Printed Concrete in Steam Curing Conditions . | MATERIALS , 2022 , 15 (8) . |
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The implementation of prefabricated buildings is hindered by the high construction cost. To address this problem, it is important to determine the efficient leverage of the supply capacity of local factories to assure just -in-time delivery to the construction site, as well as to accurately model the various types of cost to achieve a near -optimal procurement strategy. This paper describes a mathematical model to optimize the procurement of prefabricated components. A genetic algorithm is applied to efficiently obtain the minimum total cost that in-cludes installation cost, business management cost and loan interest cost. Finally, a number of numerical ex-periments are conducted, showing that the procurement strategy generated from the proposed mathematical model is better than the traditional procurement strategy in terms of construction duration reductions and total cost savings. The component procurement method proposed in this paper improves the scientific management ability of decision-makers, and provides purchasing framework for other prefabricated structural forms.
Keyword ：
Cost optimization Cost optimization Genetic algorithm Genetic algorithm Prefabricated building Prefabricated building Procurement optimization Procurement optimization
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| GB/T 7714 | Chen, Gang , Huang, Jizhuo , Wang, Jun et al. Optimal procurement strategy for off-site prefabricated components considering construction schedule and cost [J]. | AUTOMATION IN CONSTRUCTION , 2022 , 147 . |
| MLA | Chen, Gang et al. "Optimal procurement strategy for off-site prefabricated components considering construction schedule and cost" . | AUTOMATION IN CONSTRUCTION 147 (2022) . |
| APA | Chen, Gang , Huang, Jizhuo , Wang, Jun , Wei, Jiangang , Shou, Wenchi , Cao, Zhenyuan et al. Optimal procurement strategy for off-site prefabricated components considering construction schedule and cost . | AUTOMATION IN CONSTRUCTION , 2022 , 147 . |
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High-strength concrete (HSC) is a functional material possessing superior mechanical performance and considerable durability, which has been widely used in long-span bridges and high-rise buildings. Unconfined compressive strength (UCS) is one of the most crucial parameters for evaluating HSC performance. Previously, the mix design of HSC is based on the laboratory test results which is time and money consuming. Nowadays, the UCS can be predicted based on the existing database to guide the mix design with the development of machine learning (ML) such as back-propagation neural network (BPNN). However, the BPNN's hyperparameters (the number of hidden layers, the number of neurons in each layer), which is commonly adjusted by the traditional trial and error method, usually influence the prediction accuracy. Therefore, in this study, BPNN is utilised to predict the UCS of HSC with the hyperparameters tuned by a bio-inspired beetle antennae search (BAS) algorithm. The database is established based on the results of 324 HSC samples from previous literature. The established BAS-BPNN model possesses excellent prediction reliability and accuracy as shown in the high correlation coefficient (R = 0.9893) and low Root-mean-square error (RMSE = 1.5158 MPa). By introducing the BAS algorithm, the prediction process can be totally automatical since the optimal hyperparameters of BPNN are obtained automatically. The established BPNN model has the benefit of being applied in practice to support the HSC mix design. In addition, sensitivity analysis is conducted to investigate the significance of input variables. Cement content is proved to influence the UCS most significantly while superplasticizer content has the least significance. However, owing to the dataset limitation and limited performance of ML models which affect the UCS prediction accuracy, further data collection and model update must be implemented.
Keyword ：
backpropagation neural network backpropagation neural network beetle antennae search beetle antennae search high-strength concrete high-strength concrete sensitivity analysis sensitivity analysis unconfined compressive strength unconfined compressive strength
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| GB/T 7714 | Sun, Junbo , Wang, Jiaqing , Zhu, Zhaoyue et al. Mechanical Performance Prediction for Sustainable High-Strength Concrete Using Bio-Inspired Neural Network [J]. | BUILDINGS , 2022 , 12 (1) . |
| MLA | Sun, Junbo et al. "Mechanical Performance Prediction for Sustainable High-Strength Concrete Using Bio-Inspired Neural Network" . | BUILDINGS 12 . 1 (2022) . |
| APA | Sun, Junbo , Wang, Jiaqing , Zhu, Zhaoyue , He, Rui , Peng, Cheng , Zhang, Chao et al. Mechanical Performance Prediction for Sustainable High-Strength Concrete Using Bio-Inspired Neural Network . | BUILDINGS , 2022 , 12 (1) . |
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本实用新型公开了包裹式石条楼板无损加固结构技术领域的一种单元型包裹式石条楼板无损加固结构及施工方法，结构包括条状石板、高强钢丝网/碳纤维网格、专用砂浆，加固范围为楼板跨中1/3‑1/2的局部区域，以2‑3根条状石材为基础，在其表面沿着外周环绕包裹高强钢丝网/碳纤维网格，用专用砂浆做基层将高强钢丝网/碳纤维网格与石条楼板进行粘结，形成加固基本单元，本加固方案用高强钢丝/碳纤维网格对石条楼板进行单元的包裹式加固，增强若干独立条状石材的局部组合受力性能，同时在加固基本单元的基础上增设纵向、横向加固措施，进一步提升石条楼板的整体性与抗连续倒塌能力，且该方案操作简单、成本低廉，因此具备广泛的工程应用和推广价值。
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| GB/T 7714 | 黄冀卓 , 吴武玄 , 黄可为 et al. 一种单元型包裹式石条楼板无损加固结构 : CN202221111379.X[P]. | 2022-05-10 . |
| MLA | 黄冀卓 et al. "一种单元型包裹式石条楼板无损加固结构" : CN202221111379.X. | 2022-05-10 . |
| APA | 黄冀卓 , 吴武玄 , 黄可为 , 杨建军 , 李艳红 , 杨筱荟 et al. 一种单元型包裹式石条楼板无损加固结构 : CN202221111379.X. | 2022-05-10 . |
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In recent years, interest in BIM and GIS applications in civil engineering has been growing. For bridge engineering, BIM/GIS applications such as simulation, visualization, and secondary development have been used to assist practitioners in managing bridge construction and decision-making, including selection of bridge location maintenance decisions. In situ 3D modelling of existing bridges with detailed images from UAV camera has allowed engineers to conduct remote condition assessments of bridges and decide on required maintenance actions. Several studies have investigated the applications of BIM/GIS technology on bridge projects. However, there has been limited focus on reviewing the outcomes of these studies to identify the limitations of BIM and GIS applications on bridge projects. Therefore, the aim of this study was to review the research on BIM/GIS technology applications in bridge projects over the last decade. Using a systematic review process, a total of 90 publications that met the inclusion criteria were reviewed in this study. The review identified the state-of-the-art methods of BIM and GIS applications, respectively, at the planning and design, construction, and operation and maintenance phases of bridge projects. However, the findings point to segregated application of BIM and GIS at all phases of bridge projects. The findings of this study will contribute to guiding practitioners in selecting appropriate BIM and GIS technologies for different aspects of bridge projects.
Keyword ：
application application bridge bridge Bridge Information Modelling (BrIM) Bridge Information Modelling (BrIM) Building Information Modelling (BIM) Building Information Modelling (BIM) Geographical Information System (GIS) Geographical Information System (GIS)
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| GB/T 7714 | Wei, Jiangang , Chen, Gang , Huang, Jizhuo et al. BIM and GIS Applications in Bridge Projects: A Critical Review [J]. | APPLIED SCIENCES-BASEL , 2021 , 11 (13) . |
| MLA | Wei, Jiangang et al. "BIM and GIS Applications in Bridge Projects: A Critical Review" . | APPLIED SCIENCES-BASEL 11 . 13 (2021) . |
| APA | Wei, Jiangang , Chen, Gang , Huang, Jizhuo , Xu, Li , Yang, Yan , Wang, Jun et al. BIM and GIS Applications in Bridge Projects: A Critical Review . | APPLIED SCIENCES-BASEL , 2021 , 11 (13) . |
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